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The prediction of pollution spreading under different conditions is essential.
The decision and the selection of the candidate will take place until 30/10/2019.
Candidates will be notified about the results by e-mail.
Despite the rapid development of modern methodology of the precipitation monitoring, measurement (based mostly on the techniques of teledetection) and analysis (based mostly on modelling and GIS), the gap between the accuracy of in-situ measurements and remote-sensing datasets still requires to be filled.
The combination of the in-situ and remote-sensing data on precipitation constitute the promising input material for rainfall-runoff modelling.
The scholarship committee reserves the right to conduct interviews with selected candidates.
Phd Dissertation Topics
The decision of the scholarship committee cannot be appealed.
Insufficient monitoring of precipitation, its significant variability both in terms of spatial and temporal distribution result in substantial uncertainty of this input data and make it difficult to assess the real water capacity introduced to the modelled catchment.
The Ph D research consist on the modelling of the runoff from a river catchment for various pre-selected scenarios of the precipitation distribution, both temporal and spatial.
The project objective is to deepen the understanding of drought dynamics by taking the Huai River basin in China and the River Vistula basin in Poland as two comparative case study catchments.
The objective will be achieved using multi-source data (including ground- and satellite-based observations and data products obtained from reprocessing) and hydrological model simulations to investigate the water transformation processes among evapotranspiration, soil moisture, groundwater, streamflow and industrial water abstractions under different catchment physiographic conditions.